Practice Free HPE7-S01 Exam Online Questions
An AI Engineer is designing an Airflow DAG to run a resource-intensive data processing pipeline. To prevent this pipeline from consuming all available worker resources and starving other critical workflows, the engineer wants to limit the number of concurrent tasks this specific DAG can execute.
Which Airflow feature should be configured to strictly limit the concurrency for tasks associated with this specific workload?
- A . DAG Concurrency
- B . Kubernetes Resource Quotas
- C . Pools
- D . Celery Queues
An architect is laying out the physical power distribution for an HPE Cray EX cabinet. The logical requirement is for 380V DC power delivery to the blades.
Which physical component is installed in the power shelf of the cabinet to perform the necessary AC-to-DC conversion?
- A . UPS Batteries.
- B . Solar Inverters.
- C . Step-down Transformers (converting to 110V AC).
- D . Rectifiers (converting 480V/400V AC to 380V DC).
In the standard architecture of HPE Private Cloud AI, distinct server models are used for different cluster roles to optimize cost and performance.
Which HPE ProLiant server model is standardly designated to function as the Control Plane Node (hosting Kubernetes control services, not heavy AI workloads)?
- A . HPE ProLiant Compute XD685
- B . HPE Cray XD670
- C . HPE ProLiant Compute DL325 Gen11
- D . HPE ProLiant Compute DL380a Gen11
A customer wants to use their existing 10GbE core network to connect a new high-performance AI storage system (HPE Cray ClusterStor) to their compute nodes to save money.
Why would a readiness assessment likely flag this 10GbE network as a critical bottleneck for modern AI workloads utilizing NVIDIA H100 GPUs?
- A . Modern GPUs can ingest data at speeds far exceeding 10Gbps; a slow network causes "Data Starvation," leaving GPUs idle while waiting for data.
- B . 10GbE switches do not support IPv6, which is required for AI.
- C . The storage system is incompatible with 10GbE connectors.
- D . 10GbE networks cannot support the MTU size required for AI.
A Spark Performance Engineer is configuring a Spark Application in HPE AI Essentials to accelerate data processing using NVIDIA GPUs. They need to ensure the RAPIDS accelerator is loaded by the Spark driver and executors.
Which specific configuration property must be defined in the spec.sparkConf to load the NVIDIA RAPIDS plugin class?
- A . spark.rapids.memory.gpu.enabled: "true"
- B . spark.plugins: "com.nvidia.spark.SQLPlugin"
- C . spark.executor.plugins: "nvidia-gpu"
- D . spark.driver.extraClassPath: "/opt/rapids/jar"
A customer wants to partition an NVIDIA A100 GPU into smaller, fully isolated instances to guarantee deterministic performance (throughput and latency) for seven simultaneous inference workloads. They want to ensure that a heavy load on one instance does not impact the memory bandwidth or compute cores of another.
Which specific NVIDIA technology allows the GPU memory and compute cores to be physically partitioned at the hardware level?
- A . Time-Sliced vGPU
- B . CUDA Multi-Process Service (MPS)
- C . Multi-Instance GPU (MIG)
- D . Unified Memory
An enterprise wants to run GPU-accelerated workloads but does not want to invest in purchasing and managing physical data center infrastructure. They prefer a consumption-based model where they can allocate GPU clusters for a specific duration.
Which HPE service provides this flexible access to GPU clusters built on HPE Cray XD nodes?
- A . HPE Aruba Central
- B . HPE GPU Cloud Service
- C . HPE GreenLake for Block Storage
- D . HPE InfoSight
You are proposing an HPE Private Cloud AI solution for a customer who wants to implement Retrieval Augmented Generation (RAG) with LLMs. They need a balance of performance and cost, requiring approximately 217 TB of storage and 200 GbE networking.
Which configuration size fits this "sweet spot" for RAG workloads using NVIDIA L40S GPUs?
- A . Large Configuration
- B . Developer System
- C . Medium Configuration
- D . Small Configuration
An AI Developer is writing a Python script to submit a job to the Ray cluster using the JobSubmissionClient. They need to specify the correct address and port to connect to the Ray Head service.
Which TCP port is used by the JobSubmissionClient (and the Ray Dashboard) to interact with the Ray Head node?
- A . 8265
- B . 6379
- C . 8080
- D . 10001
You are configuring the support capabilities for a mission-critical HPE Cray XD cluster managed by HPCM. The customer wants to ensure that hardware failures automatically trigger a support case with HPE.
Which feature within HPE Performance Cluster Manager (HPCM) provides this automated "call home" capability?
- A . HPE InfoSight
- B . Cray System Management (CSM)
- C . Remote Support
- D . HPE GreenLake Compute Ops Management